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Real World Data Jobs in Virginia (NOW HIRING)

Minimum Qualifications: * 2-3 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data * Bachelor's degree in mathematics, statistics ...

Data Scientist

Herndon, VA · On-site

$106K - $180K/yr

Generate and analyze synthetic data to augment computer vision models where real-world data is scarce * Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

Proven experience working with Real World Data and its applications in clinical research. * You have experience developing SOPs to document departmental processes for biostatistics. * Demonstrated ...

Data Analysis Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Analysis Tutor

Fairfax, VA · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Candidates should be comfortable working with real-world data; additional experience with SQL is preferred. * Experience working with or alongside enterprise CRM platforms with understanding of how ...

Data Analysis Tutor

Salem, VA · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Science Tutor

Salem, VA · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Candidates should be comfortable working with real-world data; additional experience with SQL is preferred. * Experience working with or alongside enterprise CRM platforms with understanding of how ...

Candidates should be comfortable working with real-world data; additional experience with SQL is preferred. * Experience working with or alongside enterprise CRM platforms with understanding of how ...

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Science Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Analysis Tutor

Alexandria, VA · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Data Analysis Tutor

Norfolk, VA · Remote

$18 - $40/hr

Familiar with data analysis curricula and common challenges such as handling messy real-world data, choosing appropriate visualization types, and translating data findings into business ...

Showing results 21-40

Real World Data information

See Virginia salary details

$21.4K

$116.6K

$192.6K

How much do real world data jobs pay per year?

As of Aug 9, 2026, the average yearly pay for real world data in Virginia is $116,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,821.00 and $145,879.00 per year, depending on experience, location, and employer.

What does a typical workday look like for someone in a real world data position?

In a Real World Data role, your typical day might include accessing and preparing large healthcare datasets, performing statistical analyses, and collaborating with clinical, regulatory, and data science colleagues. You may also spend time developing reports or visualizations to communicate findings to stakeholders, as well as ensuring data quality and compliance with privacy standards. Teamwork is vital, as projects often involve close collaboration with cross-functional teams in research, product development, or regulatory affairs. The work can be both independent and highly collaborative, offering a dynamic and engaging environment for those who enjoy tackling complex challenges.

What is a real world data?

A Real World Data (RWD) job involves collecting, analyzing, and interpreting healthcare data generated outside of traditional clinical trials, such as electronic health records, claims data, patient registries, and wearable device data. Professionals in this field work to generate insights that can support drug development, regulatory decisions, and healthcare policy. These roles require expertise in data management, biostatistics, epidemiology, or health informatics. RWD jobs are critical for understanding real-world patient outcomes and improving healthcare interventions.

What are the key skills and qualifications needed to thrive in the real world data position, and why are they important?

To thrive in a Real World Data role, you need expertise in data analysis, statistics, and a background in healthcare, epidemiology, or life sciences. Familiarity with data management tools like SQL, SAS, R, or Python, as well as knowledge of regulatory guidelines such as HIPAA or GDPR, is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills that distinguish top candidates. These competencies are crucial for accurately interpreting complex health data, ensuring compliance, and effectively collaborating with multidisciplinary teams to generate actionable insights.

Infographic showing various Real World Data job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,596 per year, or $56.1 per hour.

Data Scientist

Elder Research

Arlington, VA • Hybrid

Full-time

Re-posted 4 days ago


Job description

Data Scientist


General Information

Requisition # 693

Locations USA-VA-Arlington

Posting Date 05/06/2026

Security Clearance Required - Active Public Trust

Remote Type Hybrid (Washington DC Metro)

Time Type Full time


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This is a hybrid position with several days onsite per month as needed.

You'll support a U.S. federal civilian agency that serves as the central authority on human capital across the federal workforce, helping advance strategic goals around modernizing its use of data, building a stronger analytics workforce across government, delivering trusted human-capital data products to agencies and employees, and strengthening data governance, privacy, and security.

Responsibilities include but are not limited to:

  • Develop, deploy, and maintain production ML and NLP models that surface insights from large volumes of human-capital and workforce data, directly supporting decisions made by federal agencies, employees, and the public.
  • Build and modernize data products and pipelines that improve data access, integration, and quality across legacy and cloud-based systems.
  • Translate ambiguous policy and program questions into well-scoped analytical work, partnering with non-technical stakeholders and presenting results in ways decision-makers can act on.
  • Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance.
  • Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling.

Minimum Qualifications:

  • 2–3 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data
  • Bachelor’s degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field
  • Hands-on experience building and evaluating NLP-based machine learning models
  • Strong Python skills for developing and automating ML models and data pipelines
  • Proficiency with collaborative development tools (VS Code, Git, GitHub Copilot)
  • Experience working in Agile teams to iteratively develop and deliver data products
  • Strong analytical, communication, and cross-functional collaboration skills, including translating ambiguous requirements into actionable solutions

Preferred Qualifications:

  • Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search.
  • Experience delivering data-science work in a federal or other regulated environment, with awareness of FedRAMP, FISMA, or similar compliance regimes.
  • Experience working with human-capital, workforce, survey, or other administrative-record data.
  • Experience with MLOps tooling and patterns for monitoring, retraining, and governing models in production.

Clearance Requirements:

  • This role requires the ability to obtain and maintain a U.S. Public Trust clearance. U.S. citizenship or other status meeting the federal investigative requirements is required at the time of hire.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.